Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy

Alex Lamb, Vikas Verma, Kenji Kawaguchi +4

Adversarial robustness has become a central goal in deep learning, both in the theory and the practice. However, successful methods to improve the adversarial robustness (such as a…